'''simple docstring'''




import os






def __lowerCAmelCase					(				UpperCamelCase__ = "matrix.txt"							)      ->       int:
    with open(os.path.join(os.path.dirname(UpperCamelCase__							)							,    UpperCamelCase__							)							) as in_file:
        __lowerCamelCase            =    in_file.read()

    __lowerCamelCase            =    [[int(UpperCamelCase__							) for cell in row.split(''','''							)] for row in data.strip().splitlines()]
    __lowerCamelCase            =    [[0 for cell in row] for row in grid]
    __lowerCamelCase            =    len(grid[0]							)

    __lowerCamelCase            =    [[0 for i in range(UpperCamelCase__							)] for j in range(UpperCamelCase__							)]
    __lowerCamelCase            =    grid[0][0]
    for i in range(1							,    UpperCamelCase__							):
        __lowerCamelCase            =    grid[0][i] + dp[0][i - 1]
    for i in range(1							,    UpperCamelCase__							):
        __lowerCamelCase            =    grid[i][0] + dp[i - 1][0]

    for i in range(1							,    UpperCamelCase__							):
        for j in range(1							,    UpperCamelCase__							):
            __lowerCamelCase            =    grid[i][j] + min(dp[i - 1][j]							,    dp[i][j - 1]							)

    return dp[-1][-1]


if __name__ == "__main__":
  print(f'{solution() = }')

'''simple docstring'''




# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCAmelCase					={
    "configuration_efficientnet": [
        "EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EfficientNetConfig",
        "EfficientNetOnnxConfig",
    ]
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __UpperCAmelCase					=["EfficientNetImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __UpperCAmelCase					=[
      "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
      "EfficientNetForImageClassification",
      "EfficientNetModel",
      "EfficientNetPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_efficientnet import (
      EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
      EfficientNetConfig,
      EfficientNetOnnxConfig,
  )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_efficientnet import EfficientNetImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_efficientnet import (
        EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
        EfficientNetForImageClassification,
        EfficientNetModel,
        EfficientNetPreTrainedModel,
    )

else:
  import sys

  __UpperCAmelCase					=_LazyModule(__name__, globals()["__file__"], _import_structure)
